code: def test_iqr_left_tail_capping_with_fold_2(df_normal_dist):
      # test case 3: IQR, left tail, fold 2
      transformer = OutlierTrimmer(
          capping_method="iqr", tail="left", fold=0.8
      )
      X = transformer.fit_transform(df_normal_dist)
  
      df_transf = df_normal_dist.copy()
      inliers = df_transf["var"].ge(-0.17486039103044)
      df_transf = df_transf.loc[inliers]
  
      pd.testing.assert_frame_equal(X, df_transf)
      assert len(X) == 98
  
file_path: feature_engine/tests/test_outliers/test_outlier_trimmer.py
imports: import pandas
  import pytest
  from feature_engine.outliers import OutlierTrimmer
label_desc: Use image node_id 3 for calling a global function with example usage: test_iqr_left_tail_capping_with_fold_2(df_normal_dist) without return types